Quantification of effective exoelectrogens by most probable number (MPN) in a microbial fuel cell

被引:21
|
作者
Heidrich, Elizabeth S. [1 ]
Curtis, Thomas P. [1 ]
Woodcock, Stephen [2 ]
Dolfing, Jan [1 ]
机构
[1] Newcastle Univ, Sch Civil Engn & Geosci, Newcastle Upon Tyne NE1 7RU, Tyne & Wear, England
[2] Univ Technol Sydney, Sch Math Sci, Sydney, NSW, Australia
基金
英国工程与自然科学研究理事会;
关键词
Microbial fuel cell; Inoculation; Most probable number; Wastewater treatment; GEOBACTER-SULFURREDUCENS; WASTE-WATER; BACTERIA; GROWTH; ELECTRICITY; ELECTRON; PCR;
D O I
10.1016/j.biortech.2016.06.066
中图分类号
S2 [农业工程];
学科分类号
0828 ;
摘要
The objective of this work was to quantify the number of exoelectrogens in wastewater capable of producing current in a microbial fuel cell by adapting the classical most probable number (MPN) methodology using current production as end point. Inoculating a series of microbial fuel cells with various dilutions of domestic wastewater and with acetate as test substrate yielded an apparent number of exoelectrogens of 17 per ml. Using current as a proxy for activity the apparent exoelectrogen growth rate was 0.03 h(-1). With starch or wastewater as more complex test substrates similar apparent growth rates were obtained, but the apparent MPN based numbers of exoelectrogens in wastewater were significantly lower, probably because in contrast to acetate, complex substrates require complex food chains to deliver the electrons to the electrodes. Consequently, the apparent MPN is a function of the combined probabilities of members of the food chain being present. (C) 2016 The Author(s). Published by Elsevier Ltd.
引用
收藏
页码:27 / 30
页数:4
相关论文
共 50 条
  • [11] Development, and complete evaluation, of a novel Most-Probable-Number (MPN) qPCR method for accurate and express quantification of Listeria monocytogenes in foodstuffs
    Alejandro Garrido-Maestu
    Ramón Vieites-Maneiro
    Elvira Peñaranda
    Ana G. Cabado
    [J]. European Food Research and Technology, 2015, 241 : 697 - 706
  • [12] A COMPUTER-PROGRAM FOR THE QUANTITATIVE-DETERMINATION OF THE NUMBER OF GERMS BY THE MOST-PROBABLE-NUMBER (MPN) METHOD
    NAGEL, M
    BLUML, T
    STELZER, W
    SCHULZE, E
    [J]. ACTA HYDROCHIMICA ET HYDROBIOLOGICA, 1989, 17 (02): : 143 - 152
  • [13] Enumeration of exoelectrogens in microbial fuel cell effluents fed acetate or wastewater substrates
    Kim, Kyoung-Yeol
    Rossi, Ruggero
    Regan, John M.
    Logan, Bruce E.
    [J]. BIOCHEMICAL ENGINEERING JOURNAL, 2021, 165
  • [14] Electro-autotrophs induced the growth of exoelectrogens on the anode in a microbial fuel cell
    Chen, Kuo-Ti
    Bai, Min-Der
    Wu, Shao-I
    Chen, Chang-Chieh
    Lu, Wen-Jang
    Wan, Hou-Peng
    Huang, Chihpin
    [J]. BIOCHEMICAL ENGINEERING JOURNAL, 2019, 141 : 29 - 34
  • [15] Evaluation of a Most Probable Number Method for Detection and Quantification of Legionella pneumophila
    Niu, Chunyan
    Zhang, Yajie
    Zhang, Yong
    [J]. PATHOGENS, 2022, 11 (07):
  • [16] An Optimized Most Probable Number (MPN) Method to Assess the Number of Thermophilic Free-Living Amoebae (FLA) in Water Samples
    Moussa, Mirna
    Marcelino, Isabel
    Richard, Vincent
    Guerlotte, Jerome
    Talarmin, Antoine
    [J]. PATHOGENS, 2020, 9 (05):
  • [17] Estimating microbial population counts by 'most probable number' using Microsoft Excel®
    Briones, AM
    Reichardt, W
    [J]. JOURNAL OF MICROBIOLOGICAL METHODS, 1999, 35 (02) : 157 - 161
  • [18] Quantification of Escherichia coli O157:H7 in milk by most probable number -polymerase chain reaction (MPN-PCR) method
    Jamshidi, A.
    Mohammadi, S.
    Mohammadi, A.
    [J]. AFRICAN JOURNAL OF MICROBIOLOGY RESEARCH, 2011, 5 (26): : 4588 - 4591
  • [19] SIMULTANEOUS ENUMERATION OF DENITRIFYING AND NITRATE REDUCING BACTERIA IN SOIL BY A MICROTITER MOST-PROBABLE-NUMBER (MPN) PROCEDURE
    STALEY, TE
    GRIFFIN, JB
    [J]. SOIL BIOLOGY & BIOCHEMISTRY, 1981, 13 (05): : 385 - 388
  • [20] A comparison between DAPI direct count (DDC) and most probable number (MPN) to quantify protozoa in infiltration systems
    Stevik, TK
    Hanssen, JF
    Jenssen, PD
    [J]. JOURNAL OF MICROBIOLOGICAL METHODS, 1998, 33 (01) : 13 - 21